st: -poisson postestimation- chi2 discrepancy

Dear 'listers,
I am working on Poisson models, and using -estat gof- I obtain:
Deviance goodness-of-fit = 301.3502
Prob > chi2(269) = 0.0852
Pearson goodness-of-fit = 1135.374
Prob > chi2(269) = 0.0000
My data do not appear to be horribly over-dispersed (alpha from
-nbreg- is 3.39e-07), (variance = 3.6, mean 1.8).
I suspect the discrepancy could be due to the very large df (it's a
collapsed Cox model), but the Stata manual for -poisson
postestimation- doesn't provide any clarity on when one gof might be
more apppropiate. Alternatively, the model could be very poorly
specified, but only options I know of are SSC's -fitstat-.
Any suggestions?
cheers-
Andrew Lover
______________________________________________
Epidemiologist
Centre for Infectious Disease Epidemiology Research (CIDER)
Saw Swee Hock School of Public Health
National University of Singapore
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